Dataflow computing model — Perspectives, advantages and implementation
Alexander D. Ivannikov, N. N. Levchenko, A.S. Okunev, Alexander L. Stempkovsky, D.N. Zmejev · 2017
The problems of parallelizing computations and increasing real performance are among the main ones for high-performance computing systems. The article describes a new dataflow computing model and architecture, which allow addressing these problems. Methods for solving other problems of classical dataflow systems and traditional cluster supercomputers by the parallel dataflow computing system are also presented. The experiment results for one of the task are shown. It is concluded that the new dataflow computing model is promising.